/**
* Copyright 2010 Neuroph Project http://neuroph.sourceforge.net
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.neuroph.samples.timeseries;
import java.io.IOException;
/**
* Very simple class which just wraps up the generation of the time-series predicition training sets.
* You can alter this to generate differing data sets. I.e. different samplig rates (frequency) and differing sizes of memory.
* See http://neuroph.sourceforge.net/TimeSeriesPredictionTutorial.html
*
* @author Laura Ellen Carter-Greaves
*/
public class GenerateTrainingSets {
/**
* Generates datasets used in time series prediction tutorial
*/
public static void main(String[] args) {
//change this directory as required for your installation...
final String directory="C:\\java\\Neuroph_2.3\\Neuroph\\tutorial\\";
try {
GenerateSet gs=new GenerateSet(directory+"BSW15", true, 1, 5);
gs.doIt();
gs=new GenerateSet(directory+"BSW120", true, 1, 20);
gs.doIt();
gs=new GenerateSet(directory+"BSW210", true, 2, 10);
gs.doIt();
gs=new GenerateSet(directory+"BSW220", true, 2, 20);
gs.doIt();
gs=new GenerateSet(directory+"BSW55", true, 5, 5);
gs.doIt();
gs=new GenerateSet(directory+"SSW15", false, 1, 5);
gs.doIt();
gs=new GenerateSet(directory+"SSW120", false, 1, 20);
gs.doIt();
gs=new GenerateSet(directory+"SSW210", false, 2, 10);
gs.doIt();
gs=new GenerateSet(directory+"SSW540", false, 5, 40);
gs.doIt();
gs=new GenerateSet(directory+"SSW1010", false, 10, 10);
gs.doIt();
} catch (IOException e) {
e.printStackTrace();
System.out.println("Failed to generate all data sets.");
System.exit(1);
}
System.out.println("Generated data sets.");
}
}